传感器网络:非常微小的(纳米级)计算机形成自组织p2p网络并传输“传感”信息。

3D打印:物理对象的《星际迷航》复制器(还没有Early Grey茶)。

DNA计算:针对某些类型问题的大规模并行计算。

当然，1980年以前是施乐PARC的辉煌时期。在图形用户界面、鼠标、激光打印机、互联网和个人电脑刚刚诞生的时候。(鉴于我太年轻了，不可能活在那个年代，而你几乎在努力发明所有这些东西，关于1980年的事情，我不能告诉你任何你不知道的事情，所以我们继续吧。)

The thing is, though, that the pre-1980 days were a lot more vibrant in terms of truly disruptive new technologies. That's the way it is with any new field -- hwo many game-changing technology advances have you seen in railroads in the past 100 years? How many have you seen in lightbulbs? In the printing press? Once something ignites a hype in the right circles, there is an explosive period of invention, followed by a long period of maturing. After that, you're not going to see the same kind of completely radical changes again UNLESS the basic circumstances change.

幸运的是，这可能会发生在一些领域，而且已经发生在其他一些领域:

Mobility - smart phones bring computing to a truly portable platform, which will soon include location-based services and proximity-based ad-hoc networks. It's a completely new paradigm that's potentially as game-changing as the GUI has been The WWW (HTTP, HTML and DNS) has already been mentioned and is an obvious addition to the list, since it is enabling global, inexpensive, mainstream rich communication across the globe - all thanks to a computing platform On the interface side, both touch, multitouch (Jeff Han comes to mind) and the Wiimote need mentioning. Currently, they are basically curiosities, but so were the early GUIs. OOP design patterns -- higher level solutions as best practices to hard problems. Depending on your definition of 'computing', it may or may not belong on the list, but if you count OOP as a significant advance pre-1980 (I certainly do), I think design patterns and the GoF deserve a mention too Google's PageRank and MapReduce algorithms - I am pleased to notice I wasn't the first to mention them, and seriously --- where would the world be without the principles of both of them? I vividly remember what the world looked like before them, and suffice it to say Google really IS my friend. Non-volatile memory -- it's on the hardware side, but it is going to play a significant role in the future of computing - making bootup times a thing of the past, for example, and enabling us to use computers in entirely new ways Semantic (natural language) search / analysis / classification / translation... We're not quite there yet, but companies like Powerset give the impression that we're on the brink. On that note, intelligent HTMs should be on this list as well. I am yet another believer in Jeff Hawkins' model and approach, and if it works, it will mean a complete redefinition of what computers can do, what it means to be human, and where the world can go from here. Creating a real intelligence in that way (synthetically) would be bigger than anything the human race has accomplished before. GNU + Linux 3D printing / rapid prototyping (and, in time, manufacturing) P2P (which also lead to VoIP etc.) E-ink, once the technologies mature a bit more RFID might belong on the list, but the verdict is still out on that one Quantum Computing is the most obvious element on the list, except we still haven't been able to get enough qubits to play along. However, my friends in the field tell me there's incredible progress going on even as we speak, so I'm holding my breath for that one. And finally, I want to mention a personal favourite: distributed intelligence, or its other name: artificial artificial intelligence. The idea of connecting a huge number of people in a network and allowing them access to the combined minds of everyone else through some form of question answering interface. It's been done a number of times recently, with Yahoo Answers, Askville, Amazon Mechanical Turk, and so on, but in my mind, those are all missing the mark by a LOT... much like the many implementations of distributed hypertext that came before Tim Berners-Lee's HTML, or the many web crawlers before Google. Seriously -- someone needs to build an search interface into 'the hive mind' to blow everyone else out of the water. IMHO - it is only a matter of time.

自由软件基金会(成立于1985年)

即使你不是他们哲学的全心全意的支持者，他们一直在推动的理念，自由软件，开源已经对软件行业和一般内容产生了惊人的影响(例如维基百科)。

上世纪八十年代初，施乐帕洛阿尔托研究中心对计算机蠕虫进行了研究。

摘自John Shoch和Jon Hupp的“蠕虫”程序——分布式计算的早期经验”(ACM通讯，1982年3月，第25卷第3期，172-180页，1982年3月):

In The Shockwave Rider, J. Brunner developed the notion of an omnipotent "tapeworm" program running loose through a network of computers - an idea which may seem rather disturbing, but which is also quite beyond our current capabilities. The basic model, however, remains a very provocative one: a program or a computation that can move from machine to machine, harnessing resources as needed, and replicating itself when necessary. In a similar vein, we once described a computational model based upon the classic science-fiction film, The Blob: a program that started out running in one machine, but as its appetite for computing cycles grew, it could reach out, find unused machines, and grow to encompass those resources. In the middle of the night, such a program could mobilize hundreds of machines in one building; in the morning, as users reclaimed their machines, the "blob" would have to retreat in an orderly manner, gathering up the intermediate results of its computation. Holed up in one or two machines during the day, the program could emerge again later as resources became available, again expanding the computation. (This affinity for nighttime exploration led one researcher to describe these as "vampire programs.")

引用艾伦·凯的话:“预测未来最好的方法就是创造未来。”

在人机交互中使用物理学提供了另一种可理解的隐喻。这与手势和触觉相结合，很可能会取代70年代发明的、从80年代中后期开始普遍使用的当前常见GUI隐喻。

1980年的计算能力还不足以让这成为可能。我相信游戏可能引领了这一方向。iPod Touch/iPhone中的列表滚动交互便是一个很好的例子。交互机制依赖于动量和摩擦如何在现实世界中工作的直觉，以提供滚动项目列表的简单方法，而可用性依赖于导致滚动的物理手势。

1980年1月2日我开始编程。我试着思考在我的职业生涯中有哪些重大的新发明。我很难想出一个。大多数我认为重要的东西实际上是在1980年之前发明的，但直到1980年之后才被广泛采用或改进。

Graphical User Interface. Fast processing. Large memory (I paid $200.00 for 16k in 1980). Small sizes - cell phones, pocket pc's, iPhones, Netbooks. Large storage capacities. (I've gone from carrying a large 90k floppy to an 8 gig usb thumb drive. Multiple processors. (Almost all my computers have more than one now, software struggles to keep them busy). Standard interfaces (like USB) to easily attach hardware peripherals. Multiple Touch displays. Network connectivity - leading to the mid 90's internet explosion. IDE's with Intellisense and incremental compiling.

虽然硬件有了巨大的进步，但软件行业一直在努力跟上。我们比1980年领先了几光年，但大多数改进都是改进，而不是发明。自1980年以来，我们一直忙于应用技术进步，而不是发明创造。就其本身而言，这些渐进式的发明大多不重要或不强大，但当你回顾过去29年，它们相当强大。

我们可能需要接受渐进式的改进并引导它们。我相信真正原创的想法可能会来自很少接触计算机的人，而且他们越来越难找到。